docstr: The dimension bounds, in the warped space
  
  Returns
  -------
  List
      Collection of the `transformed_bounds` of each dimension in :attr:`dimensions`
docstr_tok: ["The","dimension","bounds",",","in","the","warped","space","Returns","--","--","--","-","List","Collection","of","the","`","transformed_bounds","`","of","each","dimension","in",":","attr",":","`","dimensions","`"]
code: def transformed_bounds(self):
      """The dimension bounds, in the warped space
  
      Returns
      -------
      List
          Collection of the `transformed_bounds` of each dimension in :attr:`dimensions`
      """
      b = []
  
      for dim in self.dimensions:
          if dim.transformed_size == 1:
              b.append(dim.transformed_bounds)
          else:
              b.extend(dim.transformed_bounds)
  
      return b
  
imports: from hyperparameter_hunter.space.dimensions import Dimension, Real, Integer, Categorical
  from hyperparameter_hunter.utils.general_utils import short_repr
  from functools import reduce
  import numbers
  import numpy
  from sys import maxsize
  from sklearn.utils import check_random_state
  from sklearn.utils.fixes import sp_version
label_desc: Use image node_id 13 for calling the Space obj's underlying member method code with example usage: obj.transformed_bounds() and returns: b